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Image fuzzy processing method and device

A fuzzy processing and image technology, applied in the direction of image data processing, image analysis, instruments, etc., can solve the problems of slow fuzzy processing operation speed and poor adaptability, achieve good adaptability, improve computing speed, and improve resource utilization efficiency Effect

Active Publication Date: 2014-09-24
SPREADTRUM COMM (SHANGHAI) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If a fixed-size template is used and a larger template is used to process a low-resolution image, in order to obtain the same degree of blur as a high-resolution image, only the elements in the middle of the template are non-zero, while most of the elements around the template are zero, so many Unnecessary operations, poor adaptability
[0008] In summary, the existing image blurring processing methods for realizing miniature landscape special effects have slow speed of blurring processing and poor adaptability

Method used

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  • Image fuzzy processing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] refer to figure 1 The flow chart of the image blurring processing method shown will be described in detail through specific steps below.

[0043] S101, setting a boundary line between a clear area and a blur area in an image.

[0044] The miniature landscape blurred special effect image to be processed in this embodiment is composed of a clear area in the middle and one or more blurred areas around, and the set dividing line can be a closed curve. refer to figure 2 and image 3 The schematic diagram of the layout of the miniature landscape special effect image shown, wherein, figure 2 Among them, the middle part is the clear area 201, and the upper and lower parts are the fuzzy area 202 and the fuzzy area 203 that need to be gradually blurred from the boundary line with the clear area to the outside, and image 3 In the middle, there is a clear area 301 in the middle, the boundary line is a curve, and the surrounding area is a fuzzy area 302 that gradually becomes...

Embodiment 2

[0075] The difference from Embodiment 1 is that this embodiment also uses the set pixel point sampling interval to sample the pixels in the blurred area, that is, combining two processing methods of downsampling in the blurred area of ​​the image and sampling the pixels in the blurred area. Refer to Figure 5 The shown flow chart of the image blurring processing method specifically includes the following steps:

[0076] S501. Preprocessing the image to enhance the sense of model of the image.

[0077] As mentioned above, in order to enhance the model sense of the image, various processing can be performed on the image, for example, the brightness, saturation, and contrast of the image can be adjusted, and the edge of the image in the clear area can also be enhanced at the same time or only, so I won’t go into details here . The above-mentioned process of enhancing the model sense of the image may also be performed after blurring the image.

[0078] S502, setting a boundary l...

Embodiment 3

[0109] refer to Figure 8 The shown image blur processing device includes: a boundary line setting unit 801, a sampling blur parameter setting unit 802, a sampling blur processing unit 803, a blur template calculation unit 804 and a blur filter unit 805, wherein:

[0110] A boundary setting unit 801, configured to set the boundary between the clear area and the blurred area in the image;

[0111]A sampling blur parameter setting unit 802, configured to set the sampling blur parameters of the blur area according to the size of the image to be processed;

[0112] A sampling blur processing unit 803, configured to perform sampling blur processing on the blur area by using the set sampling blur parameters of the blur area;

[0113] A fuzzy template calculation unit 804, configured to calculate and determine a fuzzy template corresponding to pixels in the fuzzy area;

[0114] The blur filtering unit 805 is configured to use the blur template obtained by the blur template calculat...

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Abstract

The embodiment of the invention provides an image fuzzy processing method and device. The method comprises that a boundary of a clear area and a fuzzy area in an image is arranged; a sampling fuzzy parameter of the fuzzy area is arranged according to the size of the image to be processed; sampling fuzzy processing is performed on the fuzzy area by adopting the sampling fuzzy parameter of the fuzzy area via arrangement; fuzzy templates corresponding to pixel points in the fuzzy area are calculated; and fuzzy filtering is performed on all the pixel points in the fuzzy area after sampling fuzzy processing by adopting the obtained fuzzy templates. With application of the method and the corresponding device, smaller fixed templates can be used so that fuzzy processing speed is enhanced and adaptability is high.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an image blurring processing method and device. Background technique [0002] Miniature landscape effects are mainly used to simulate the effect of shallow depth of field when shooting real scenes with tilt-shift lenses. This shallow depth of field rendering will give people the feeling of shooting a man-made model. Under normal circumstances, the focal plane of the camera is parallel to the film plane. When shooting with a large aperture, the scene on the focal plane is clear but out of focus. However, when shooting with a tilt-shift lens, since the lens can move and sway, the angle at which the light is projected onto the photosensitive element can be changed, thereby changing the clear point, so that even the scene in the same focal plane can easily create a shallow depth of field effect. [0003] Usually, the miniature landscape film image taken by the shif...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 邵真天彭晓峰林福辉朱洪波常广鸣陈敏杰牛海军张乐
Owner SPREADTRUM COMM (SHANGHAI) CO LTD
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